A review on modelling of power-to-gas energy storage integrated with biomass gasification

The integration of biomass gasification with power-to-gas (PtG) technology offers a promising pathway for sustainable energy production by converting surplus renewable electricity into bio-synthetic natural gas (Bio-SNG) (in the graphical abstract, this process is shown). This review provides a comprehensive assessment of modelling approaches used to represent gasification, methanation, and electrolysis within PtG–biomass systems. Reported Bio-SNG production efficiencies range from 26% to 86.4% (LHV), with the highest values achieved in dual fluidised bed (DFB) gasifiers operated at 750–850 °C. Methanation is predominantly modelled using equilibrium approaches, although hybrid kinetic–equilibrium frameworks yield more realistic predictions in multi-stage systems where heat removal and reaction kinetics affect CH₄ yield. The most prevalent layout in our review is Option B: electrolytic hydrogen is introduced after pre-methanation into the main methanation stage, and electrolytic oxygen supports gasification (often with O₂ storage). Despite these advances, limitations remain. Many models are not validated against pilot-scale or industrial data, reducing confidence in scalability. Dynamic operation under fluctuating renewable inputs is rarely addressed, although it is central to PtG viability. Inconsistent system boundaries and efficiency definitions complicate direct comparisons across studies. Open research needs include: (i) validated kinetic models of gasification and methanation, (ii) dynamic simulations that capture transient renewable electricity input, (iii) techno-economic assessments considering carbon pricing and declining electrolyser costs, and (iv) operational strategies for managing variable hydrogen supply. Addressing these gaps will be essential to advance PtG–biomass gasification systems from conceptual modelling to commercial deployment in decarbonised energy networks.

Authors

Institutions

Publication Details

Journal
Discover Biotechnology
Published
2025-11-22
DOI
https://doi.org/10.1007/s44340-025-00045-8
Citations
1
Primary Topic
Thermochemical Biomass Conversion Processes
Type
article
Field-Weighted Citation Impact
0.67
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A review on modelling of power-to-gas energy storage integrated with biomass gasification

Wayne Doherty, M. Naderi, Anthony Reynolds
1 citations
Discover Biotechnology
Thermochemical Biomass Conversion Processes
0.67
article

A review on modelling of power-to-gas energy storage integrated with biomass gasification

Wayne Doherty, M. Naderi, Anthony Reynolds
article en
1 citations

Abstract

The integration of biomass gasification with power-to-gas (PtG) technology offers a promising pathway for sustainable energy production by converting surplus renewable electricity into bio-synthetic natural gas (Bio-SNG) (in the graphical abstract, this process is shown). This review provides a comprehensive assessment of modelling approaches used to represent gasification, methanation, and electrolysis within PtG–biomass systems. Reported Bio-SNG production efficiencies range from 26% to 86.4% (LHV), with the highest values achieved in dual fluidised bed (DFB) gasifiers operated at 750–850 °C. Methanation is predominantly modelled using equilibrium approaches, although hybrid kinetic–equilibrium frameworks yield more realistic predictions in multi-stage systems where heat removal and reaction kinetics affect CH₄ yield. The most prevalent layout in our review is Option B: electrolytic hydrogen is introduced after pre-methanation into the main methanation stage, and electrolytic oxygen supports gasification (often with O₂ storage). Despite these advances, limitations remain. Many models are not validated against pilot-scale or industrial data, reducing confidence in scalability. Dynamic operation under fluctuating renewable inputs is rarely addressed, although it is central to PtG viability. Inconsistent system boundaries and efficiency definitions complicate direct comparisons across studies. Open research needs include: (i) validated kinetic models of gasification and methanation, (ii) dynamic simulations that capture transient renewable electricity input, (iii) techno-economic assessments considering carbon pricing and declining electrolyser costs, and (iv) operational strategies for managing variable hydrogen supply. Addressing these gaps will be essential to advance PtG–biomass gasification systems from conceptual modelling to commercial deployment in decarbonised energy networks.

Discover BiotechnologyVol. 2(1)
Technological University Dublin (IE), Dundalk Institute of Technology (IE)
Openalex Percentile: Top 24%
Thermochemical Biomass Conversion Processes
0.67
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.